class_docstr: Base class for coding experiment.
class_docstr_tok: ["Base","class","for","coding","experiment","."]
code: def fit(
      self,
      batch_size,
      validation_size,
      validation_batch_size,
      train_size=None,
      train_seed=None,
      validation_seed=82913749,
      **kwargs,
  ):
      train_data = source_dataset(
          self.source, batch_size, train_seed, dataset_size=train_size
      )
      if train_size is not None:
          train_data = train_data.repeat()
      validation_data = source_dataset(
          self.source,
          validation_batch_size,
          validation_seed,
          dataset_size=validation_size,
      )
      super().fit(
          train_data,
          validation_data=validation_data,
          shuffle=False,
          **kwargs,
      )
  
file_path: compression/models/toy_sources/compression_model.py
imports: import abc
  import matplotlib.pyplot
  import numpy
  import tensorflow
label_desc: Use image node_id 10 for calling the CompressionModel obj's underlying member method code with example usage: obj.fit(batch_size, validation_size, validation_batch_size, train_size, train_seed, validation_seed) without return types